All submissions of the EM system will be redirected to Online Manuscript Submission System. Authors are requested to submit articles directly to Online Manuscript Submission System of respective journal.


A high performance computer system evaluation model with uncertain linguistic information

Author(s): Chao Chen

High performance computing (HPC) is widely used in science and engineering to solve large computation problems. With the development of HPC, the scale of the high performance computers is expanded rapidly. Many new technologies and methods are introduced to improve the performance in the designing of the processor nodes. In this paper, we investigate the multiple attribute decision making problems for evaluating the performance of the computer systems with uncertain linguistic variables. We utilize the uncertain linguistic choquet integral (ULCI) operator to aggregate the uncertain linguistic variables corresponding to each alternative and get the overall value of the alternatives, then rank the alternatives and select the most desirable one (s). Finally, an illustrative example is given.

Share this       

Table of Contents

Recommended Conferences

International Congress on Biotechnology

Tokyo, Japan

24th Global Congress on Biotechnology

Dubai, UAE
izmir escort izmir escort bursa escort antalya escort izmir escort porno porno izle türk porno eskişehir escort bartın escort burdur escort havalandırma izmir escort bursa escort porno indir izle escort izmir